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Record W4407050532 · doi:10.1016/j.jafr.2025.101691

Prevalence of Toxoplasma gondii in retail venison in Montreal detected using a nested PCR method

2025· article· en· W4407050532 on OpenAlexafffundabout
Chi Zhao, Mengyu Zhang, Xiaoqi Mi, Xiaonan Lu, Qian Liu

Bibliographic record

VenueJournal of Agriculture and Food Research · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsJewish General HospitalMcGill University
FundersChina Scholarship CouncilMcGill University
KeywordsToxoplasma gondiiNested polymerase chain reactionVirologyBiologyGeographyPolymerase chain reactionGeneticsGeneAntibody

Abstract

fetched live from OpenAlex

Toxoplasma gondii is a globally significant zoonotic pathogen responsible for congenital disorders and opportunistic infections, primarily transmitted through foodborne pathways. Deer are considered high-risk hosts for T. gondii infection; however, data on its prevalence in their muscle tissues remain limited. This study assessed the prevalence of T. gondii in 168 fresh venison samples collected in Montreal in 2024. The sensitivity of conventional PCR and nested PCR methods for detecting the RE-529 fragment was compared. Nested PCR exhibited a detection limit of 2 fg/μL, which is 100 times more sensitive than that of conventional PCR. Using nested PCR, T. gondii DNA was detected in 73 out of 168 samples, indicating a high positivity rate of 43.45 %. These findings reveal the widespread prevalence of T. gondii in venison sold in Montreal and emphasize the importance of freezing or thoroughly cooking venison to mitigate the risk of foodborne toxoplasmosis. This study provides baseline data for health risk assessments and contributes to the development of food safety policies in Canada. • The detection limit of nested PCR was 2 fg/μL. • This was the study to assess T. gondii in retail venison in Montreal. • Among 168 venison samples tested, 73 were positive, with a positivity rate of 43.45 %. • Venison should be frozen for a day or thoroughly cooked to reduce T. gondii risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.354
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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